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dc.contributor.author
Alvarez, Emiliano  
dc.contributor.author
Brida, Gabriel  
dc.contributor.author
London, Silvia  
dc.date.available
2024-11-04T13:39:05Z  
dc.date.issued
2020  
dc.identifier.citation
Agent Based Models and Simulation in Social Sciences: A bibliometric review; Conference on Complex System 2020; Reino Unido; 2020; 1-23  
dc.identifier.uri
http://hdl.handle.net/11336/247194  
dc.description.abstract
Since the first agent-based models (ABM), the scientific community has been interested in making not only the results of computational models understandable but also the modeling description, to facilitate their replication. The form that has been adopted to a greater extent has been the ODD (Overview, Design concepts, and Details) protocol, which provides a generic structure for its documentation. This protocol provides a way to clearly explain the procedures and interactions of the complex systems to be analyzed, with applications that have spread across different disciplines. This work will show a bibliometric review of the articles that emerged from the first publication of this protocol in 2006, analyzing the development that ABMs have had in the social sciences. A description will be made of the lines of research with the greatest activity and the links between them will be analyzed; while summarizing the countries, universities, and journals with the highest contributions.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Society of Complex Systems  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
BIBLIOMETRIC REVIEW  
dc.subject
MODELIZATION  
dc.subject
COMPLEX SYSTEM  
dc.subject.classification
Otras Economía y Negocios  
dc.subject.classification
Economía y Negocios  
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CIENCIAS SOCIALES  
dc.title
Agent Based Models and Simulation in Social Sciences: A bibliometric review  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2022-11-04T13:39:15Z  
dc.journal.pagination
1-23  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
On line  
dc.description.fil
Fil: Alvarez, Emiliano. Universidad de la Republica; Uruguay  
dc.description.fil
Fil: Brida, Gabriel. Universidad de la Republica; Uruguay  
dc.description.fil
Fil: London, Silvia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://zenodo.org/record/4419178  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5281/zenodo.4419177  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Conferencia  
dc.description.nombreEvento
Conference on Complex System 2020  
dc.date.evento
2020-12-07  
dc.description.paisEvento
Reino Unido  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
Complex Systems Society  
dc.source.libro
CCS2020 - Conference on Complex System 2020 - Book of Abstracts  
dc.date.eventoHasta
2020-12-11  
dc.type
Conferencia